A Particale Swarm Optimization based method for estimation of transformer insulation model parameters

To enhance the reliability of grids and also safety of power instruments, it is too important to distinguish their defects before a complete damage. Therefore insulation modeling of these instruments is noticed to recognize their insulation conditions and performance. In this paper, a simple RC model is used to model the power insulating instrument and PDC test results are used to determine the different parameters of this model. Among different methods evaluating the parameters, Exponential-curve-fitting and Particle Swarm Optimization (PSO) techniques are used. At last transformer insulation model of Neka power plant in Iran is presented and its parameters are evaluated according to PDC test results. Therefore the described methods are used to identify the parameters and their results are compared with each other. This comparison shows ability of PSO in estimation of insulation model parameters.